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Commission Python Data Analysis Jobs in Orlando, FL

Strategic Amelioration LLC

Data Analyst

Orlando, FL · On-site

$70 - $100/hr

Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business intelligence platforms like Tableau or Power BI are highly desirable. 2. Professional Experience:

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Apply automation and analytics tools including Python, Power BI, Microsoft tools, and GenAI-enabled applications * Support Compliance, J-SOX and controls assurance activities through data extraction ...

Judge Group, Inc.

Data Analyst - IT - V

Lake Mary, FL · On-site

Key responsibilities Data Analysis & Reporting: Collect, clean, analyze, and interpret complex data ... Python, SQL, Snowflake, Tableau, Dynatrace, and AWS By providing your phone number, you consent to ...

Signature Aviation

Senior Data Analyst - CRM

Orlando, FL · On-site

$80 - $100/hr

Experience with data analysis and visualization tools such as Python, R, SQL, Power BI, Tableau, or similar platforms. * Strong analytical and statistical skills with the ability to identify patterns ...

VOLT

Data Analyst - Lake Mary, FL

Lake Mary, FL · On-site

$45 - $48/hr

Apply data analysis and process metrics to evaluate performance, identify bottlenecks, and measure ... Familiarity with Python, SQL, Power BI, Tableau, Alteryx, or similar analytics and automation ...

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Infographic showing various Commission Python Data Analysis job openings in Orlando, FL as of July 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Data Analyst

Strategic Amelioration LLC

Orlando, FL • On-site

$70 - $100/hr

Other

Posted 7 days ago

Job description

  • Minimum Requirement: Bachelor's degree in Data Science, Statistics, Computer Science, Information Management, or a related field.
  • Preferred Qualification: Master's degree in Data Science, Business Analytics, or a related discipline.
  • Certifications: Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business intelligence platforms like Tableau or Power BI are highly desirable.
2. Professional Experience:
  • Minimum Years of Experience: At least 3-5 years of experience in data analysis, preferably within the sectors relevant to the project such as government, healthcare, or public administration.
  • Specific Experience: Experience with managing and analyzing large datasets, creating reports, and providing actionable insights. Experience in working with compliance or regulatory data within a structured project environment is a plus.
3. Skills and Competencies:
  • Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Technical Skills: Proficiency in database management and data analysis software (e.g., SQL, Python, R), as well as advanced proficiency in spreadsheet tools like Microsoft Excel.
  • Communication Skills: Excellent communication skills to effectively present findings and insights to both technical and non-technical stakeholders.
4. Knowledge:
  • Statistical and Mathematical Knowledge: Solid understanding of statistical testing and modeling techniques that are essential for analyzing complex data.
  • Data Privacy and Security Knowledge: Awareness of data privacy standards and best practices, especially in handling sensitive or personal data, which is crucial in government and healthcare sectors.
  • Problem-solving Abilities: Ability to approach complex data-related problems with a clear analytical methodology and solve them efficiently.
  • Attention to Detail: Meticulous attention to detail to ensure the accuracy of data and analysis.
  • Proactivity: Proactive in identifying trends, anomalies, and opportunities in the data to drive project objectives.
6. Responsibilities:
  • Data Collection and Management: Collect, process, and clean data from multiple sources to ensure it is ready for analysis.
  • Data Analysis and Reporting: Analyze data using statistical techniques and tools, and create reports and dashboards that clearly communicate the findings and recommendations.
  • Support Decision Making: Provide data-driven insights to support strategic decisions and project initiatives.
  • Continuous Learning: Stay updated with the latest trends, tools, and technologies in data analysis to enhance project outcomes and efficiency.

Disclaimer: Strategic Amelioration LLC provides business consulting services for informational purposes only. We are not a CPA or law firm. Access "Terms and Conditions" tab below.

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